Identify unusual patterns or behaviour in technical objects
Detect abnormal equipment behaviour early with AI-powered sensor data analysis.
dgl
{"id":"SAP1079889","url":"https://www.sap.com/assetdetail/2024/05/6cfd9b83-bb7e-0010-bca6-c68f7e60039b.html","type":"video"}
default
{}
primary
default
{}
secondary
Overview
Detecting abnormal equipment behaviour early helps prevent downtime. Anomaly detection in SAP Asset Performance Management uses AI to analyse sensor data and flag deviations from normal patterns. Instead of manual reviews, engineers receive alerts, enabling proactive maintenance and improving reliability across assets.
Benefits
- Schedule maintenance proactively by identifying abnormal equipment patterns
- Make complex data analysis more accessible to frontline maintenance teams
- Reduce the time and effort spent on manual inspection and issue detection
- Reduce unplanned downtime and improve asset reliability across operations
Business value
Background blue 2
default
{}
Earlier issue identification
Automatically detect deviations in equipment behaviour using AI
default
{}
link
default
{}
link
Background blue 2
default
{}
Reduced manual labour
Less effort expended on data inspection by reliability engineers
default
{}
link
default
{}
link
Background blue 2
default
{}
Improved asset availability
Enable timely interventions that prevent downtime and disruptions
default
{}
link
default
{}
link